{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"AI Hope","title":"Ep. 15: The Answer to AI Problems Is...","html":"","width":"100%","height":180,"duration":463,"description":"This solo episode of AI Hope starts with a question I’ve been chewing on for months. AI brings a long list of real problems, from job losses and data center sprawl to cybersecurity, rogue agents, and what I call the dumbification of society. Hollywood and the press amplify the existential fears because doom sells tickets and gets clicks. Meanwhile, industry hasn’t offered a real answer, and few of us expect the federal government to act on our behalf.\nMy answer is humans. I can’t control what Washington does, but I can control how AI gets adopted in my own organization, and so can you. That starts with use cases that serve your mission instead of reckless, use-it-for-everything deployment.\nIt also means knowing the difference between efficacy, which is achieving your mission, and efficiency. When I hear executives tout AI efficiencies, I increasingly hear code for layoffs, and unless retraining and redeploying people is part of the plan, you should see yellow and red flags.\n\nI also get into the AI lobby, why elected officials only move when they’re in hot water, and why every agent needs built-in human triggers instead of rogue internet access. Even though I work in this business, I think the frontier model bubble needs deflating. These models are a department store: You get a little of everything, and none of it is great. I expect niche models and SaaS platforms to gain ground once the big IPOs pass.\nAI’s biggest problem is that we’ve let it go unchecked, deploying it with a shiny-object attitude that it would cure the world. The fix is us, whether that’s a human check inside a workflow or a bigger strategic call about how your organization uses the technology.\nListen today on Spotify, iTunes, YouTube, or wherever you get your podcasts!\n\n0:42 Is there one answer to all of AI’s problems?\n 2:23 The answer is…\n 6:37 The department store problem and the rise of niche models","thumbnail_url":"https://img.transistorcdn.com/3geCJ1VW0lJp_L0iMNFeYncMeLLmjyFI3vHgwOHbnAI/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNDEy/Y2FmNGNjODJhZjk0/Njk1NzJkMjk0YmY5/YjdiMS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}